中文

NewsHomepages: Homepage Layouts Capture Information Prioritization Decisions

信息检索 2025-01-03 v1 人工智能 计算与语言

摘要

Information prioritization plays an important role in how humans perceive and understand the world. Homepage layouts serve as a tangible proxy for this prioritization. In this work, we present NewsHomepages, a large dataset of over 3,000 new website homepages (including local, national and topic-specific outlets) captured twice daily over a three-year period. We develop models to perform pairwise comparisons between news items to infer their relative significance. To illustrate that modeling organizational hierarchies has broader implications, we applied our models to rank-order a collection of local city council policies passed over a ten-year period in San Francisco, assessing their "newsworthiness". Our findings lay the groundwork for leveraging implicit organizational cues to deepen our understanding of information prioritization.

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引用

@article{arxiv.2501.00004,
  title  = {NewsHomepages: Homepage Layouts Capture Information Prioritization Decisions},
  author = {Ben Welsh and Naitian Zhou and Arda Kaz and Michael Vu and Alexander Spangher},
  journal= {arXiv preprint arXiv:2501.00004},
  year   = {2025}
}